Abstract
Quantitative methods are important tools for experimental neuropathies studies. Morphometry has been used to define normal parameters of human nerves and also for laboratory animals, since obtained data are useful for comparisons with injured nerves. Morphometry can be performed manually or with the aid of semi‐automated or fully automated computer‐assisted programs. Manual morphometry has been usually described as tedious, time‐consuming, difficult to perform correctly and subject to many sources of errors. The above considerations might suggest that fully automated, computadorized image analysis systems could be ideally programmed to analyze myelinated fibers. However, literature reports indicated that operator intervention is necessary to manually eliminate dark tissue elements such as pericytes and Schwann cell nuclei. Thus, semi‐automated methods are widely used for peripheral nerve morphometry. The present talk will discuss the advantages of each technique available for nerve morphometry and the clinical applications for their use.
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